# Copyright 2019 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from torch.utils.data import Dataset
[docs]class BatchDataDict(Dataset):
"""Pytorch Dataset subclass that takes a dictionary of format {'<batch_idx>': <batch_data>}."""
def __init__(self, X, y=None):
"""X is the dictionary dataset and y is ignored.
Parameters
----------
X : dict
Dictionary of format {'<batch_idx>': <batch_data>}
y : None
Ignored.
"""
self.data_dict = X
def __len__(self):
return len(self.data_dict)
def __getitem__(self, idx):
# This returns the batch at idx instead of a single element.
return self.data_dict[idx]